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. 2025 Jul 22:13:1588908.
doi: 10.3389/fpubh.2025.1588908. eCollection 2025.

Correlates of sedentary behaviors among adults from eastern Poland

Affiliations

Correlates of sedentary behaviors among adults from eastern Poland

Marian Jan Stelmach et al. Front Public Health. .

Abstract

Background: Research on sedentary behaviors in the Polish population using objective methods, such as accelerometry, remains limited. These behaviors, defined as time spent on passive activities or minimal physical effort, require further investigation. This study aimed to identify socio-demographic and health-related correlates of sedentary behaviors in a cohort of adults from eastern Poland.

Methods: A total of 173 adults from eastern Poland participated in the study. Socio-demographic data were collected using the EHIS (wave 3) questionnaire. Movement behaviors were monitored for 7 days using a triaxial accelerometer. Statistical analyses focused on the prevalence of sedentary behaviors (SB) and correlations for qualitative and quantitative variables for two- and multiple-group comparisons. The final stage involved regression models explaining SB and step count per day.

Results: Participants spent an average of 8 h and 34 min per day in sedentary behaviors, with a mean daily step count exceeding 8,000. Self-rated health, gender, employment status, and marital status were the strongest correlates of sedentary behavior. Linear regression analysis showed that in the case of step count per day, employment status is a statistically significant predictor explaining 11.8% of the variance.

Conclusion: The obtained findings underscore the necessity for further research to explore the causal relationships of the prevalence of sedentary behaviors, particularly among socially and professionally excluded individuals.

Keywords: adults (MeSH); eastern Poland; health; physical inactivity; sedentary behavior; sociodemographics factors.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Scatter plot with a fitted line for the correlation between self-rated health and cumulative sedentary behavior time (SB) as well as cumulative step count (Steps) from the entire monitoring period.
Figure 2
Figure 2
Cumulative sedentary behavior time (SB) and cumulative step count (Steps) during the entire monitoring period in groups differentiated by area of residence.
Figure 3
Figure 3
Cumulative sedentary behavior time (SB) and cumulative step count (Steps) during the entire monitoring period in groups differentiated by type of housing.
Figure 4
Figure 4
Cumulative sedentary behavior time (SB) and cumulative step count (Steps) during the entire monitoring period in groups differentiated by the number of household members living together.
Figure 5
Figure 5
Cumulative sedentary behavior time (SB) and cumulative step count (Steps) during the entire monitoring period in groups differentiated by marital status.
Figure 6
Figure 6
Cumulative sedentary behavior time (SB) and cumulative step count (Steps) during the entire monitoring period in groups differentiated by employment status.

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